期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 51, 期 7, 页码 4297-4307出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2019.2931339
关键词
Synchronization; Complex networks; Power system dynamics; Complexity theory; Numerical models; Scholarships; Complex variable; finite-time synchronization; fractional-order complex network
资金
- National Natural Science Foundation of China [61563048, 61866036, U1703262]
- State Scholarship Fund of China Scholarship Council [201708655001]
- Natural Science Foundation of Xinjiang [2018D01C057]
- Innovation Team Program of Universities in Xinjiang Uyghur Autonomous Region [XJEDU2017T001]
In this paper, finite-time synchronization of complex-valued dynamical networks with fractional order is considered without dividing networks into two subsystems, using the theory of complex-variable functions. Sign functions for complex-valued numbers and vectors were introduced, along with two complex-valued control strategies based on different norms of complex numbers. Synchronization criteria were derived and settling times were estimated effectively through fractional-order finite-time differential inequalities and the theory of complex-variable functions. Numerical simulations were provided to demonstrate the established theoretical results and the impact of fractional order on finite-time synchronization.
In this paper, without dividing complex-variable networks into two subsystems with real values, the finite-time synchronization is considered for complex-valued dynamical networks with fractional order by means of the theory of complex-variable functions. First of all, as a generalization of the real-valued sign function, the sign functions of complex-valued numbers and complex-valued vectors are introduced and some formulas about them are established. Under the sign function framework, two complex-valued control strategies are designed based on two different norms of complex numbers. Some synchronization criteria are derived and the settling times of synchronization are effectively estimated by developing fractional-order finite-time differential inequalities and utilizing the theory of complex-variable functions. The established theoretical results are demonstrated and the effect of the fractional order of the network model on the finite-time synchronization is revealed finally by providing some numerical simulations.
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